Research on Non-destructive Comprehensive Detection and Grading of Poultry Eggs Based on Intelligent Robot

Abstract : This study presents a light-duty automation system for the automatization of detecting and grading poultry eggs, namely SIRDGE, short for System of Intelligent Robot Detecting and Grading Eggs. This system combines crack detection, inner quality detection and eggs conveying in detecting and grading, which are all performed by a joint-robot to fully automate egg detection and gradation. The hardware components and software structure of the system are presented. Necessary explanation of the main hardware and the software is made, which includes video image capturing and camera calibration, image processing and feature extraction, motion control and route planning of the robot, MCU control for the vacuum sucker, knocking sound processing and crack detection, color image processing and inner quality detection, etc. Property testing of SIRDGE has been done in the research.
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Shucai Wang, Jinxiu Cheng, Youxian Wen. Research on Non-destructive Comprehensive Detection and Grading of Poultry Eggs Based on Intelligent Robot. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. pp.487-498, ⟨10.1007/978-3-642-12220-0_71⟩. ⟨hal-01055408⟩

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